Architecting at Scale
A Practical Guide to Large-Scale System Design: From Monolith to AI-Native, Beyond Scaling Servers
Created by Imran Siddique
Discover how to design large-scale systems that grow with your business without adding unnecessary complexity. By following the real-world journey of ShopFlow from startup to global AI-native platform, you'll learn to make smart architectural decisions based on measurable ROI and practical trade-offs.
Packt | Aug 2026 | 590 min
What You Will Learn
You'll work through ShopFlow's growth stages, diagnosing bottlenecks and applying the Scale by Subtraction framework to simplify architecture. Through practical scenarios, you'll decide when to decouple services, shard databases, enhance security, or introduce AI agents, always focusing on evidence-based outcomes.
Key Features
- Use ROI and key metrics to guide scaling decisions and avoid overengineering
- Apply Zero Trust, sharding, and FinOps to boost security, reliability, and cost control
- Adopt AI-native operations and automation for resilient, self-healing systems
Target Audience
This course is ideal for software architects, engineering leaders, CTOs, and senior engineers who want to scale systems and teams efficiently. If you have a solid grasp of cloud computing and a basic understanding of AI applications, you'll gain actionable strategies to design robust, cost-effective, and future-ready platforms.
